Following Thomas Kuhn's seminal 1962 book in which he introduced the notion of scientific paradigms, we here describe a computational methodology that leverages that concept in a concrete formulation. I describe this approach partially as a methodology for framing and scoping the knowledge representation and analysis work necessary to build tools to serve a specific community. However this approach also has technical implications that are relevant to semantic web representations, the use of workflows and reasoning and the way that we derive content from existing scientific artefacts. We will explore this viewpoint in the context of a well defined domain problem (Biomarker studies of neurodegenerative diseases) with the strategic intent of developing a practical, scoped view of biomarker data that could serve as the basis of corollary work within AI computer science groups.